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Endoscopic retrograde pancreatography (ERP) displays high accuracy in the diagnosis of pancreas divisum [6]; however, the procedure is considered to be too invasive for preoperative screening.
The proposed algorithm is independent of the transmission system topology and displays high accuracy in its results, even with varying parameters such as fault distance, fault inception angle and fault impedance.
Moreover, this classification system displays high accuracy and is well correlated with the experimentally reported data.
The model that was retained can be written as follows: (5) R a i = β 0 + β 1 × 1 σ i 2 + β 2 × 1 J i + β 3 × 1 σ i 2 × 1 J i + ϵ i where ϵ i ~ N 0, σ ϵ 2, for i = 1, …, 984722 Table 1 shows the estimates of the multiple linear regression model that explains R = 99.4% of the variance of the ratio and displays high accuracy (RMSE = 0.030).
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The results display high accuracy when compared with other numerical results.
The results display high accuracy when compared with the exact solutions.
In addition, the newly developed reduced graphene oxide-cyclodextrin-chitosan (RGO-CD-CS) sensor displayed high accuracy, satisfactory reproducibility, good stability, and adequate efficiency in simultaneously detecting o-NPh and p-NPh in aqueous samples.
In addition to high flexibility and efficiency, this method also displayed high accuracy.
In addition, compared with the five closed-form solutions available in the literature, the two proposed solutions display higher accuracy in predicting the global buckling loads of concentrically loaded PFRP I-section columns.
Classification methods (79.6%) display higher accuracy for the NNRTIs than regression methods (77.0%, p < 0.05); however, no such differences are observed between the methods for the PIs or NRTIs.
For those RT inhibitors, the interpretation algorithms of DR_SEQAN and ANRS showed similar results, while displaying higher accuracy in the detection of isolates susceptible to nucleoside RT inhibitors (Table 2).
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